Searched for: subject%3A%22Multi%255C-agent%255C+system%22
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Yue, Dongdong (author), Baldi, S. (author), Cao, Jinde (author), De Schutter, B.H.K. (author)
This article describes an extension of the well-known model reference adaptive control (MRAC) approach. The extension relies on explicitly involving the tracking error in the feedback control law: it is shown that including this term along with its appropriate extra adaptive gain allows one to handle possibly unstable reference dynamics....
journal article 2024
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Jarne Ornia, D. (author)
Besides facing the same challenges as single-agent systems, the distributed nature of complex multi-agent systems sparks many questions and problems revolving around the constraints imposed by communication. The idea that multi-agent systems require communication to access information, to coordinate or simply to sense the environment they are...
doctoral thesis 2023
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Noorafza, M. (author), Santos, Bruno F. (author), Sharpanskykh, Alexei (author), Zengerling, Zarah L. (author), Weder, Christian M. (author), Linke, Florian (author), Grewe, V. (author)
The aviation industry has set an ambitious goal of reducing its climate impacts. Accordingly, airlines must balance their plans according to this goal with financial considerations. We developed a multi-objective framework to facilitate climate-aware network design by incorporating the objective to minimise the flight average temperature...
journal article 2023
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Chanfreut, P. (author), Keijzer, T. (author), Maestre, J. M. (author), Ferrari, Riccardo M.G. (author)
This work presents a coalitional model predictive controller for collaborative vehicle platoons. The overall system is modeled as a string of locally controlled vehicles that can share data through a wireless communication network. The vehicles can dynamically form disjoint groups that coordinate their actions, i.e., the so-called coalitions....
journal article 2023
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Benenati, E. (author), Ananduta, W. (author), Grammatico, S. (author)
A fundamental open problem in monotone game theory is the computation of a specific generalized Nash equilibrium (GNE) among all the available ones, e.g. the optimal equilibrium with respect to a system-level objective. The existing GNE seeking algorithms have in fact convergence guarantees toward an arbitrary, possibly inefficient,...
journal article 2023
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van Tilburg, Jasper (author), Cavalcante Siebert, L. (author), Cremer, Jochen (author)
This paper presents a decentralized Multi-Agent Reinforcement Learning (MARL) approach to an incentive-based Demand Response (DR) program, which aims to maintain the capacity limits of the electricity grid and prevent grid congestion by financially incentivizing residential consumers to reduce their energy consumption. The proposed approach...
conference paper 2023
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Zhai, P. (author), Rajan, R.T. (author)
Gaussian Process (GP) is a flexible non-parametric method which has a wide variety of applications e.g., field estimation using multi-agent systems. However, the training of the hyperparameters suffers from high computational complexity. Recently, distributed hyperparameter optimization with proximal gradients has been proposed to reduce...
conference paper 2023
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Belgioioso, Giuseppe (author), Grammatico, S. (author)
We address the generalized Nash equilibrium seeking problem for a population of agents playing aggregative games with affine coupling constraints. We focus on semi-decentralized communication architectures, where there is a central coordinator able to gather and broadcast signals of aggregative nature to the agents. By exploiting the...
journal article 2023
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Raja, A.A. (author), Grammatico, S. (author)
In this article, we propose a bilateral peer-to-peer (P2P) energy trading scheme under single-contract and multi-contract market setups, both as an assignment game, a special class of coalitional games. The proposed market formulation allows for efficient computation of a market equilibrium while keeping the desired economic properties...
journal article 2023
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Yesevi, Gevher (author), Keskin, M.O. (author), Doğru, Anıl (author), Aydoğan, Reyhan (author)
In agent-based negotiations, it is crucial to understand the opponent’s behavior and predict its bidding pattern to act strategically. Foreseeing the utility of the opponent’s coming offer provides valuable insight to the agent so that it can decide its next move wisely. Accordingly, this paper addresses predicting the opponent’s coming...
conference paper 2023
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Krilašević, S. (author), Grammatico, S. (author)
In this paper, we solve the problem of learning a generalized Nash equilibrium (GNE) in merely monotone games. First, we propose a novel continuous semi-decentralized solution algorithm without projections that uses first-order information to compute a GNE with a central coordinator. As the second main contribution, we design a gain...
journal article 2023
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Ciatto, Giovanni (author), Magnini, Matteo (author), Buzcu, Berk (author), Aydoğan, Reyhan (author), Omicini, Andrea (author)
Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose protocol for multi-agent systems where recommender agents may need to provide explanations for their recommendations. The protocol specifies the roles and responsibilities of the explainee and the explainer agent and the types of information...
conference paper 2023
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Hekkelman, B. (author)
We consider energy systems in the built environment. With the transition to a more sustainable, distributed, and 'smart' energy system, such local grids are undergoing significant changes. Among other developments, the new role of end-users as 'prosumers' - users that can either produce or consume power depending on the situation - is turning...
doctoral thesis 2022
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Fransman, J.E. (author)
After the Second World War, chemical warfare agents and munitions were dumped in the Baltic Sea and the North Sea.<br/>In order to assess the severity of the environmental consequences, it is important that the chemical warfare agents are located and their condition is investigated as soon as possible.<br/>In order to reduce this time, the...
doctoral thesis 2022
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Tao, T. (author)
This thesis deals with the adaptive control of interconnected systems and multi-agent systems, where adaptive control is used to deal with the presence of uncertainties. Generally, two types of uncertainties can occur. The first one is parametric uncertainty, which is most commonly addressed in the literature, and for which several design...
doctoral thesis 2022
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Yue, D. (author), Baldi, S. (author), Cao, Jinde (author), De Schutter, B.H.K. (author)
This article addresses the continuous-time distributed optimization of a strictly convex summation-separable cost function with possibly nonconvex local functions over strongly connected digraphs. Distributed optimization methods in the literature require convexity of local functions, or balanced weights, or vanishing step sizes, or algebraic...
journal article 2022
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Raja, A.A. (author), Grammatico, S. (author)
In this article, we consider a sequence of transferable utility coalitional games, where the actual coalitional values are unknown but vary within known bounds. As a solution to the resulting family of games, we formalize the notion of 'robust core.' Our main contribution is to design two distributed algorithms, namely 1) distributed payoff...
journal article 2022
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Hong, Huifen (author), Baldi, S. (author), Yu, Wenwu (author), Yu, Xinghuo (author)
This article investigates the distributed time-varying optimization problem for second-order multiagent systems (MASs) under limited interaction ranges. The goal is to seek the minimum of the sum of local time-varying cost functions (CFs), where each CF is only available to the corresponding agent. Limited communication range refers to the...
journal article 2022
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Bianchi, M. (author), Belgioioso, Giuseppe (author), Grammatico, S. (author)
We address the generalized Nash equilibrium seeking problem in a partial-decision information scenario, where each agent can only exchange information with some neighbors, although its cost function possibly depends on the strategies of all agents. The few existing methods build on projected pseudo-gradient dynamics, and require either double...
journal article 2022
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Franci, B. (author), Grammatico, S. (author)
We consider for the first time a stochastic generalized Nash equilibrium problem, i.e., with expected-value cost functions and joint feasibility constraints, under partial-decision information, meaning that the agents communicate only with some trusted neighbors. We propose several distributed algorithms for network games and aggregative...
journal article 2022
Searched for: subject%3A%22Multi%255C-agent%255C+system%22
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